class_docstr: A running estimate of performance (operations/sec) using adjusted exponential moving average
  :param alpha: Smoothing factor in range [0, 1], [default: 0.1].
docstr: Reset the time since the last update so that the next task performance is counted from current time
docstr_tok: ["Reset","the","time","since","the","last","update","so","that","the","next","task","performance","is","counted","from","current","time"]
code: def reset_timer(self):
      """Reset the time since the last update so that the next task performance is counted from current time"""
      self.timestamp = time.perf_counter()
  
file_path: hivemind/hivemind/utils/performance_ema.py
imports: import time
  from contextlib import contextmanager
  from threading import Lock
  from typing import Optional
label_desc: Use image node_id 3 for calling the PerformanceEMA obj's underlying member method code with example usage: obj.reset_timer() without return types